AI-powered bitcoin trading : developing an investment strategy with artificial intelligence / Eoghan Leahy.
Material type:
TextLanguage: English Publication details: Hoboken, New Jersey : John Wiley & Sons Inc ; 2024.ISBN: - 9781119661177
- L434a 2024
| Item type | Current library | Home library | Collection | Shelving location | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
Libro
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Biblioteca Juan Bosch | Biblioteca Juan Bosch | Automatización y Procesos Técnicos | Automatización y Procesos Técnicos (1er. Piso) | L434a 2024 (Browse shelf(Opens below)) | 1 | Available | 00000198068 |
Contenidos :
The block of genesis
How Bitcoin works
Valuing Bitcoin
Price analysis for prediction
Artificial intelligence for price prediction
Traditional trading methods
Advanced trading techniques
Automating signals and strategies
Backtesting and optimization
The evolution of artificial intelligence
Case study: Bitcoin AlphaBot™
Digital asset market outlook
Survive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques. The purpose of this book is to provide a concise yet comprehensive background of some effective methods for analyzing markets and creating fully automated AI-optimized trading systems. The book outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analyzing asset prices and then apply them to Bitcoin prices, showing how to generate actionable insights from data that can be used to create fully automated trading signals and systems. Big data analytics can be enhanced with artificial intelligence techniques. Back testing and optimization methods are presented with a special emphasis placed on the use of distributed genetic algorithms for parameter optimization. Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBot™ combines human insight with AI-driven optimization to build profit table trend trading strategies.
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